Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 61, Issue 4, Pages 1374-1383Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2013.13.120698
Keywords
Adaptive channel equalizer; Minimum Symbol-Error-Rate; constrained optimization
Funding
- National Natural Science Foundation of China [61171083, 61071212, 61271209]
- Key Grant Project of Chinese Ministry of Education [313021]
- Guangdong Provincial research project [S2011010001241, 2012B091100138]
- Chinese Next-generation Broadband Wireless Mobile Communication Network Major Science and Technology Issues [2010ZX03003-002-02]
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Existing minimum-symbol-error-rate equalizers were derived based on the symbol-error-rate objective function. Due to the complexity of the objective function the derivation is not straightforward. In this paper we present a new approach to derive the minimum-symbol-error-rate adaptive equalizers. The problem is formulated as minimizing the norm between two subsequent parameter vectors under the constraint of symbol-error-rate minimization. The constrained optimization problem then is solved with the Lagrange multiplier method, which results in an adaptive algorithm with normalization. Simulation results show that the proposed algorithm outperforms the existing adaptive minimum-symbol-error-rate equalizer in convergence speed and steady-state performance.
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